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Microsoft Power BI Cookbook

You're reading from   Microsoft Power BI Cookbook Convert raw data into business insights with updated techniques, use cases, and best practices

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835464274
Length 598 pages
Edition 3rd Edition
Languages
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Authors (2):
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Greg Deckler Greg Deckler
Author Profile Icon Greg Deckler
Greg Deckler
Brett Powell Brett Powell
Author Profile Icon Brett Powell
Brett Powell
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Toc

Table of Contents (16) Chapters Close

Preface 1. Installing and Licensing Power BI Tools FREE CHAPTER 2. Accessing, Retrieving, and Transforming Data 3. Building a Power BI Semantic Model 4. Authoring Power BI Reports 5. Working in the Power BI Service 6. Getting Serious About Date Intelligence 7. Parameterizing Power BI Solutions 8. Implementing Dynamic User-Based Visibility in Power BI 9. Applying Advanced Analytics and Custom Visuals 10. Enhancing and Optimizing Existing Power BI Solutions 11. Deploying and Distributing Power BI Content 12. Integrating Power BI with Other Applications 13. Working with Premium and Microsoft Fabric 14. Other Books You May Enjoy
15. Index

Authoring Dataflows

Dataflows are reusable, scalable self-service extract-transform-load (ETL) artifacts created exclusively in the Power BI service. Dataflows utilize the same Power Query M language for data access and transformation that has existed within Power BI Desktop but can be shared across semantic models and, with Power BI Premium capacity, can support large, resource-intensive workloads.

There are two types of dataflows available in the Power BI service: Gen1 and Gen2. Dataflow Gen1 supports DirectQuery and incremental refresh. Dataflow Gen2 requires a Fabric capacity and adds a number of new or improved features, including new data destinations such as Azure SQL Database, Azure Data Explorer (Kusto), and Fabric Lakehouse/Warehouse. Thus, Gen 2 dataflows or Power Platform dataflows address a longstanding limitation and challenge of incorporating Power Query (M) into data warehouse and lakehouse solutions. The familiar and often existing M expressions used to retrieve...

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